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For: Gaudêncio SP, Pereira F. A Computer-Aided Drug Design Approach to Predict Marine Drug-Like Leads for SARS-CoV-2 Main Protease Inhibition. Mar Drugs 2020;18:E633. [PMID: 33322052 DOI: 10.3390/md18120633] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 8.0] [Reference Citation Analysis]
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5 Gaudêncio SP, Pereira F. Predicting Antifouling Activity and Acetylcholinesterase Inhibition of Marine-Derived Compounds Using a Computer-Aided Drug Design Approach. Marine Drugs 2022;20:129. [DOI: 10.3390/md20020129] [Reference Citation Analysis]
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7 Subhaswaraj P, Siddhardha B. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing of drugs for severe acute respiratory syndrome-Coronavirus-2. Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection 2022. [DOI: 10.1016/b978-0-323-91172-6.00007-8] [Reference Citation Analysis]
8 Saranyadevi S. Repurposing natural compounds as potent inhibitors of β-catenin: an integrative in-silico approaches. Netw Model Anal Health Inform Bioinforma 2021;10:38. [DOI: 10.1007/s13721-021-00320-8] [Reference Citation Analysis]
9 Sur VP, Sen MK, Komrskova K. In Silico Identification and Validation of Organic Triazole Based Ligands as Potential Inhibitory Drug Compounds of SARS-CoV-2 Main Protease. Molecules 2021;26:6199. [PMID: 34684780 DOI: 10.3390/molecules26206199] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
10 Takahashi JA, Barbosa BVR, Lima MTNS, Cardoso PG, Contigli C, Pimenta LPS. Antiviral fungal metabolites and some insights into their contribution to the current COVID-19 pandemic. Bioorg Med Chem 2021;46:116366. [PMID: 34438338 DOI: 10.1016/j.bmc.2021.116366] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
11 Wang Z, Zhang J, Zhan J, Gao H. Screening out anti-inflammatory or anti-viral targets in Xuanfei Baidu Tang through a new technique of reverse finding target. Bioorg Chem 2021;116:105274. [PMID: 34455301 DOI: 10.1016/j.bioorg.2021.105274] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
12 Asiedu SO, Kwofie SK, Broni E, Wilson MD. Computational Identification of Potential Anti-Inflammatory Natural Compounds Targeting the p38 Mitogen-Activated Protein Kinase (MAPK): Implications for COVID-19-Induced Cytokine Storm. Biomolecules 2021;11:653. [PMID: 33946644 DOI: 10.3390/biom11050653] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
13 Ali A, Sepay N, Afzal M, Sepay N, Alarifi A, Shahid M, Ahmad M. Molecular designing, crystal structure determination and in silico screening of copper(II) complexes bearing 8-hydroxyquinoline derivatives as anti-COVID-19. Bioorg Chem 2021;110:104772. [PMID: 33676041 DOI: 10.1016/j.bioorg.2021.104772] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 18.0] [Reference Citation Analysis]
14 Chaturvedi S, Chaudhary V, Klauss T, Barthélémy P, Mishra AK. Harnessing the Capability of CADD Methods in the Prediction of Anti-COVID Drug Likeliness. Advances in Medical Diagnosis, Treatment, and Care 2021. [DOI: 10.4018/978-1-7998-0307-2.ch011] [Reference Citation Analysis]